Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

• URL: http://arxiv.org/abs/2008.02101v3
• Date: Thu, 3 Jun 2021 15:35:06 GMT
• Title: Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
• Authors: Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
• Abstract summary: We propose a self-supervised approach to incorporate semantic guidance into a GAN based stain normalization framework. Our method does not require manual segmentation maps which is a significant advantage over existing methods.
• Score: 84.7571086566595
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Although generative adversarial network (GAN) based style transfer is state of the art in histopathology color-stain normalization, they do not explicitly integrate structural information of tissues. We propose a self-supervised approach to incorporate semantic guidance into a GAN based stain normalization framework and preserve detailed structural information. Our method does not require manual segmentation maps which is a significant advantage over existing methods. We integrate semantic information at different layers between a pre-trained semantic network and the stain color normalization network. The proposed scheme outperforms other color normalization methods leading to better classification and segmentation performance.

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